Help: Visualization

Comparing data (area 3 & 4)

Properties of the input dataset and the anonymized dataset

ARX tries to present comparable data visualizations for original and transformed datasets. To this end, it
uses information from the attributes' data types and relationships between values extracted from the
generalization hierarchies. As a result, specifying reasonable data types and hierarchies will increase the quality
and comparability of data visualizations.

The first tab in this view shows summary statistics about the values of the currently selected
attribute.

The second and the third tab shows the frequency distribution of values of the currently selected attribute.

The second tab displays a histogram, the third tab displays a table.

The fourth and fifth tabs show the contingency of the two currently selected attributes.

The fourth tab visualizes contingency with a heatmap, whereas the fifth presents the data as a table.

Properties of the selected transformation

The last tab displays basic properties about the currently applied transformation and about the input configuration.
For the input dataset these properties include, the number of data entries and the suppression limit as well as
a shallow specification of all attributes in the dataset. Further properties are displayed for the transformed dataset. These include
the actual number of outliers, the number of equivalence classes and the number of outlying classes, data
utility and privacy guarantees. Note that this information represents the specification
that has been defined in the configuration perspective prior to performing the anonymization process. The state
of the workbench will remain unchanged, even if these definitions are changed. To incorporate changes (e.g.,
adjusted generalization hierarchies) into the exploration and utility analysis perspectives, the data needs to
be anonymized again.